Cuda for Engineers: An Introduction to High-Performance Parallel Computing

Name: Cuda for Engineers: An Introduction to High-Performance Parallel Computing
Brand: Addison-Wesley Professional
SKU: 9780134177410
Price: 3792.0 INR
Availability: InStock

by Duane Storti

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ISBN13: 9780134177410
Binding: Paperback
Subject: N/A
Publisher: Addison-Wesley Professional
Publisher Imprint: Addison-Wesley Professional
Publication Date: November 12, 2015
Pages: 352
Original Price: GBP 33.49
Language: English
Edition: N/A
Item Weight: 544 grams
BISAC Subject(s): Programming / Parallel

About The Book

CUDA for Engineers gives you direct, hands-on engagement with personal, high-performance parallel computing, enabling you to do computations on a gaming-level PC that would have required a supercomputer just a few years ago.

The authors introduce the essentials of CUDA C programming clearly and concisely, quickly guiding you from running sample programs to building your own code. Throughout, you'll learn from complete examples you can build, run, and modify, complemented by additional projects that deepen your understanding. All projects are fully developed, with detailed building instructions for all major platforms.

Ideal for any scientist, engineer, or student with at least introductory programming experience, this guide assumes no specialized background in GPU-based or parallel computing. In an appendix, the authors also present a refresher on C programming for those who need it.

Coverage includes

Preparing your computer to run CUDA programs
Understanding CUDA's parallelism model and C extensions
Transferring data between CPU and GPU
Managing timing, profiling, error handling, and debugging
Creating 2D grids
Interoperating with OpenGL to provide real-time user interactivity
Performing basic simulations with differential equations
Using stencils to manage related computations across threads
Exploiting CUDA's shared memory capability to enhance performance
Interacting with 3D data: slicing, volume rendering, and ray casting
Using CUDA libraries
Finding more CUDA resources and code

Realistic example applications include

Visualizing functions in 2D and 3D
Solving differential equations while changing initial or boundary conditions
Viewing/processing images or image stacks
Computing inner products and centroids
Solving systems of linear algebraic equations
Monte-Carlo computations

About The Author

Duane Storti is a professor of mechanical engineering at the University of Washington in Seattle. He has thirty-five years of experience in teaching and research in the areas of engineering mathematics, dynamics and vibrations, computer-aided design, 3D printing, and applied GPU computing.

Mete Yurtoglu is currently pursuing an M.S. in applied mathematics and a Ph.D. in mechanical engineering at the University of Washington in Seattle. His research interests include GPU-based methods for computer vision and machine learning.

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